Presentation on theme: "Dyadic Analysis: Using HLM"— Presentation transcript:
1 Dyadic Analysis: Using HLM David A. KennyUniversity of Connecticut/
2 Types of Dyads Definitions Distinguishable Dyads with a categorical within-dyads variables that makes a differencee. g., parent-childIndistinguishableOrdering of the two members is arbitrarye.g. roommatesWhether dyads are distinguishable or not is matter of theoretical and statistical considerations.
3 Nonindependence: Definition Degree of greater similarity (or dissimilarity) between linked observations versus unlinked observationsNonindependence as the correlation between linked observations.
4 Negative Nonindependence Two scores from the same dyad are more dissimilar than two scores from different groups.How?
5 Compensation: If one person has a large score, the other person lowers his or her score. For example, if one person acts very friendly, the partner may distance him or herself,Social comparison: The members of the dyad use the relative difference on some measure to determine some other variable. For instance, satisfaction after a tennis match is determined by the score of that match.Zero-sum: The sum of two scores is the same for each dyad. For instance, the two members divide a reward that is the same for all dyads.Division of labor: Dyad members assign one member to do one task and the other member to do another. For instance, the amount of housework done in the household may be negatively correlated.
6 Dyadic Designs Standard Each person has one partner Social Relations Model (SRM) DesignsEach person has many partners, and each partner paired with many personsOne-with-ManyEach person has many partners, but each partner is paired with only one person
10 Remaining part of the presentation focuses on the standard design which is used in most dyadic studies.
11 Dyadic Data Organization IndividualOne record for each individualOnly that individual’s data on the recordDyad (useful for distinguishable dyads)Each record one dyadDifferent variables for each personPairwise (useful for distinguishable dyads)One record for each personThe person’s data and partner data included (each data point included twice)
12 Pairwise Data Organization Dyad NumberMember NumberThe Person’s DataPartner’s DataAcitelli Example
13 Types of Variables Between Dyads – Level Two Within Dyads Both members have the same scoreX = X′Within DyadsSum of two scores a constantX + X′ = c for all dyads
18 Gender and the Three Types BetweenGay and Lesbian CouplesWithinHeterosexual Married CouplesMixedFriends
19 Actor-Partner Interdependence Model XYpartnerpartneractorX'Y'
20 Types of APIM Models actor only a > 0; p = 0 partner only couple modela = psocial comparison modela + p = 0
21 Actor-Partner Interaction Partner effect depends on the level of the actor effectMore than one way to testA Level 2 Variable
22 Measurement of the Actor-Partner Interaction Standard Product Approach (XX’) – make sure variables centeredDiscrepancy Score (│X – X′│) (Absolute Difference)Similarity – Negative CoefficientDissimilarity – Positive CoefficientHigher Score of the Two [Max(X,X′)] – “It Takes Two”Lower Score [Min(X,X′)] – “One of Us Can Drag Us Both Down”
23 Estimation Indistinguishable Members Multilevel Modeling Pairwise Data FileIllustrate with HLMDistinguishable MembersStructural Equation ModelingDyad Data File
24 Approaches Illustrated Conventional Multilevel Model with Random InterceptsTwo-Intercept Model
25 Briefly Discussed One-with-many design Standard design studied longitudinally